This innovative solution utilizes advanced computer vision to provide precise answers to natural language queries, enabling users to efficiently extract key information from surgical videos
Imagine a surgeon wants to learn a specific technique for hip surgery, but the only available resource is a video without audio or poor quality of audio which can further limit comprehension. makes it difficult for surgeons to quickly find specific information within video footage, such as the steps of a particular surgical approach or the function of a specific instrument, as understanding the nuances of the procedure relies heavily on both visual and auditory cues.
Our solution leverages computer vision and natural language processing to bridge this gap. It analyzes the video frame-by-frame, identifying key anatomical structures, surgical instruments, and movements. This visual understanding is then combined with a knowledge base of hip surgery techniques to answer questions about the procedure, such as:
This technology offers several benefits for a medical devices company: